NDLI: Vehicle density estimation of freeway traffic with unknown boundary demand–supply: an interacting multiple model approach

Content Provider	IET Digital Library
Author	Zhang, Liguo Mao, Xuerong
Abstract	As distributed parameter systems, dynamics of freeway traffic are dominated by the current traffic parameter and boundary fluxes from upstream/downstream sections or on/off ramps. The difference between traffic demand–supply and boundary fluxes actually reflects the congestion level of freeway travel. This study investigates simultaneous traffic density and boundary flux estimation with data extracted from on-road detectors. The existing studies for traffic estimation mainly focus on the traffic parameters (density, velocity etc.) of mainline traffic and ignore flux fluctuations at boundary sections of the freeway. The authors propose a stochastic hybrid traffic flow model by extending the cell transmission model with Markovian multi-mode switching. A novel interacting multiple model filtering for simultaneous input and state estimation is developed for discrete-time Markovian switching systems with unknown input. A freeway segment of Interstate 80 East (I-80E) in Berkeley, Northern California, is chosen to investigate the performance of the developed approach. Traffic data is obtained from the performance measurement system.
Starting Page	1989
Ending Page	1995
Page Count	7
ISSN	17518644
Volume Number	9
e-ISSN	17518652
Issue Number	Issue 13, Aug (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/9/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2014.1251
Journal	IET Control Theory & Applications
Publisher Date	2015-06-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Boundary Flux Cell Transmission Model Discrete Control System Discrete Time System Discrete-time Markovian Switching System Distributed Parameter Control System Distributed Parameter System Freeway Traffic Dynamics Interacting Multiple Model Filtering Markov Processes Markovian Multimode Switching Performance Measurement System Road Traffic Control Road Traffic System Control Road Vehicle State Estimation Stochastic Hybrid Traffic Flow Model Switching System (control) Time Varying Control System Traffic Demand-supply Traffic Parameter Estimation Vehicle Density Estimation
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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